Each day in the 2010s, it seems, brings another startling development in the field of artificial intelligence -- a field widely written off not all that long ago as a dead end. But now AI looks just as alive as the people you see in these photographs, despite the fact that none of them have ever lived, and it's questionable whether we can even call the images that depict them "photographs" at all. All of them come, in fact, as products of a state-of-the-art generative adversarial network, a type of artificial intelligence algorithm that pits multiple neural networks against each other in a kind of machine-learning match. These neural networks have, it seems, competed their way to generating images of fabricated human faces that genuine humans have trouble distinguishing from images of the real deal. Their architecture, described in a paper by the Nvidia researchers who developed it, "leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and identity when trained on human faces) and stochastic variation in the generated images (e.g., freckles, hair), and it enables intuitive, scale-specific control of the synthesis." What they've come up with, in other words, has made it not just more possible than ever to create fake faces, but made those faces more customizable than ever as well.